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Intel

Principal Engineer

Intel is hiring a Principal Engineer. It pays $234k-$383k a year and Level rates it ; you can apply on Intel.

Level's read on this job

  • Level rates this role Uses AI ●●○○: an ordinary role that requires AI tools.
  • Tools and skills the posting cites include Databricks, Snowflake and software architecture.
  • Level classifies it as a lead role.
  • Level lists 805 other open roles at Intel.
  • The role was posted within the past week.

AI in this role

Principal software architect owning end-to-end telemetry platforms and applied machine learning for failure classification.

databrickssnowflake
software-architecturetelemetrydata-lakemachine-learninganomaly-detection
Job Details:

Job Description: 

The Role and Impact As a Principal Engineer, Software Application Architecture, you will play a critical role in defining and driving the technical direction of software architecture across client, cloud, or enterprise domains. You will design scalable, secure, and resilient software solutions while influencing development tools, coding standards, and protocols to ensure optimal performance. Business group Intel's Software group is dedicated to advancing software technology to complement and enhance Intel's hardware solutions. The team works across diverse domains, bridging product innovation and software ecosystems to deliver impactful solutions. Key Responsibilities - Own the technical architecture for the end-to-end telemetry platform, from field and validation data collection through the data lake to insights delivery.- Drive the crash analytics and reliability modeling stack that accelerates root cause analysis, de-duplicates failures, and reduces escapes at scale.- Scale ingestion and analysis across millions of endpoints and thousands of data points while sustaining high flighting success across platform programs. - Partner with product architecture, validation, quality, and customer-enabling teams to turn telemetry into business actions and revenue-impacting decisions. - Set engineering standards, mentor teams, and define the metrics and predictive models that track platform, ingredient, and OEM quality health.- Lead the development of in-field and app telemetry solutions that is scalable and secure software architectures across client, cloud, or enterprise domains. - Formulate technical strategies aligned with organizational goals to deliver cutting-edge products to market.


Technical depth

  • Deep knowledge of Intel client platform architecture and OS internals across Windows and Linux, including crash and reliability paths such as BSOD, live kernel dumps, machine checks, and event logs.
  • Proven software architecture skills for scalability, security, and resiliency in high-volume ingestion, storage, and analysis pipelines.
  • Hands-on development experience with modern data lake and analytics stacks (Snowflake, Databricks, cloud services), plus the ability to define coding standards, tooling, and validation processes.
  • Applied analytics or machine learning experience for failure classification, bucketing, de-duplication, anomaly detection, and predictive quality trending.
  • Experience delivering telemetry-based validation infrastructure supporting platform onboarding, flighting, and data collection.

Leadership and collaboration

  • Demonstrated success driving technical direction and execution for large-scale software programs
  • Track record partnering with external parties - OEMs, Microsoft, and third-party telemetry providers - to establish new data-sharing partnerships.
  • Ability to influence cross-functional teams across validation, quality, product architecture, and customer enabling to turn telemetry into business action.
  • Communication and presence Excellent communication skills, able to articulate complex technical strategies to engineering and business audiences.
  • Experience presenting at industry conferences and participating in standards committees.
  • A passion for technical excellence and for delivering solutions that measurably improve product quality.

Qualifications:


  • Bachelor's in Computer Science, Software Engineering, or related field with 12+ years of experience;
  • Or Master's with 8+;
  • Or PhD with 6+.
  • 7+ years building field telemetry and data collection systems at scale, spanning millions of endpoints and thousands of data points.

          

Job Type:

Experienced Hire

Shift:

Shift 1 (United States of America)

Primary Location: 

US, Oregon, Hillsboro

Additional Locations:

US, Arizona, Phoenix, US, California, Folsom, US, California, Santa Clara

Posting Statement:

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

Position of Trust

This role is a Position of Trust. Should you accept this position, you must consent to and pass an extended Background Investigation, which includes (subject to country law), extended education, SEC sanctions, and additional criminal and civil checks. For internals, this investigation may or may not be completed prior to starting the position. For additional questions, please contact your Recruiter.

Benefits

We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel.

 

 

Annual Salary Range for jobs which could be performed in the US: $233,990.00-383,460.00 USD

 

 

The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.

 

 

Work Model for this Role

This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.

*

ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.

How we rate this

Principal Engineer at Intel rates 55 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.

Classification

Uses AI. An ordinary role that requires AI tools.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Software ArchitectureTelemetryData LakeMachine learningAnomaly DetectionDatabricksSnowflake

Questions you could be asked

  1. Tell me about a project where software architecture was part of your work. What did you do?
  2. Tell me about a project where telemetry was part of your work. What did you do?
  3. Tell me about a project where data lake was part of your work. What did you do?
  4. Tell me about a project where machine learning was part of your work. What did you do?
  5. Tell me about a project where anomaly detection was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Software Architecture, Telemetry, Data Lake, Machine learning, and Anomaly Detection. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.

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